The experimenter environment of the NIP imperfection processor

Currently, most datasets from real-world problems contain low-quality data. In particular, within soft computing and data mining areas, the research and development of techniques that can deal with this type of data has been increased recently. In order to facilitate the design of experiments in this field and with these data, an experimenter environment in NIP imperfection processor software tool has been developed. This environment allows the generation of datasets with low-quality data, allowing the researcher to design experiments that analyze the robustness of different techniques which utilize this type of information in an easy and intuitive way.